Qingqing Ma, Yongxian Su, Xiuzhi Chen, Xiu Meng, Fengyu Zhang, Raffaele Lafortezza, Yiyong Li
{"title":"Unravelling the 3D thermal environment differences between forest center and edge: A case study on 22 urban forests in Hefei city, China","authors":"Qingqing Ma, Yongxian Su, Xiuzhi Chen, Xiu Meng, Fengyu Zhang, Raffaele Lafortezza, Yiyong Li","doi":"10.1016/j.agrformet.2025.110481","DOIUrl":null,"url":null,"abstract":"Urban forests with various structures can bring considerable but divergent biophysical cooling and humidification effects on their local climate. Thus, it is crucial to unravel the 3D thermal environment within urban forests and their relationship with forest structure, which are helpful for the urban forest planning and design. In this study, we continuously observed the air temperature (T<sub>a</sub>) at different vertical layers from canopy to land surface as well as the soil surface temperature (T<sub>s</sub>) from the forest center to 5 m outside the forest edge across 22 urban forests in Hefei city, China. Indicators of forest structure such as tree height, diameter at breast height (DBH), crown diameter and leaf traits were associated with their 3D thermal environments for exploring the underlying mechanisms. We found that T<sub>s</sub> was 1.43 °C lower than the understory air temperature (T<sub>a understory</sub>) in forest center but 10.90 °C higher than T<sub>a understory</sub> outside the forest. Additionally, tree height largely influenced the buffering distance from forests center to the places with T<sub>s</sub> = T<sub>a understory</sub> (L<sub>Ts=Ta understory Lcenter</sub>), being 4.41 m, 5.80 m and 7.75 m in short (< 7 m), medium (7–9 m) and tall (>9 m) canopy forests, respectively. The temperature difference between forest center and 5 m outside the forest (ΔTemperature) varied significantly at different vertical layers, with ΔT<sub>s</sub> greater than 10 °C, ΔT<sub>a understory</sub> and ΔT<sub>a bottom canopy</sub> at around 2 °C, and no difference for ΔT<sub>a upper canopy</sub>. Regression analysis showed different relationships of forest structure and leaf traits with ΔTemperature between vertical layers. Tree height, forest area and DBH showed significant positive relationships with L<sub>Ts=Ta understory Lcenter</sub>. The study, for the first time, demonstrate the 3D thermal environments of urban forests, quantify the role of forest structure and leaf traits in predicting forest cooling.","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"59 1","pages":""},"PeriodicalIF":5.6000,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural and Forest Meteorology","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1016/j.agrformet.2025.110481","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
Abstract
Urban forests with various structures can bring considerable but divergent biophysical cooling and humidification effects on their local climate. Thus, it is crucial to unravel the 3D thermal environment within urban forests and their relationship with forest structure, which are helpful for the urban forest planning and design. In this study, we continuously observed the air temperature (Ta) at different vertical layers from canopy to land surface as well as the soil surface temperature (Ts) from the forest center to 5 m outside the forest edge across 22 urban forests in Hefei city, China. Indicators of forest structure such as tree height, diameter at breast height (DBH), crown diameter and leaf traits were associated with their 3D thermal environments for exploring the underlying mechanisms. We found that Ts was 1.43 °C lower than the understory air temperature (Ta understory) in forest center but 10.90 °C higher than Ta understory outside the forest. Additionally, tree height largely influenced the buffering distance from forests center to the places with Ts = Ta understory (LTs=Ta understory Lcenter), being 4.41 m, 5.80 m and 7.75 m in short (< 7 m), medium (7–9 m) and tall (>9 m) canopy forests, respectively. The temperature difference between forest center and 5 m outside the forest (ΔTemperature) varied significantly at different vertical layers, with ΔTs greater than 10 °C, ΔTa understory and ΔTa bottom canopy at around 2 °C, and no difference for ΔTa upper canopy. Regression analysis showed different relationships of forest structure and leaf traits with ΔTemperature between vertical layers. Tree height, forest area and DBH showed significant positive relationships with LTs=Ta understory Lcenter. The study, for the first time, demonstrate the 3D thermal environments of urban forests, quantify the role of forest structure and leaf traits in predicting forest cooling.
期刊介绍:
Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published.
Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.